Lambda hyperons equilibrate rapidly in post-collapse proto-neutron stars through nonleptonic NN to N Lambda processes and enhance low-energy muon neutrino opacities beyond nucleonic contributions.
An Exploration of the Equation of State Dependence of Core-Collapse Supernova Explosion Outcomes and Signatures
7 Pith papers cite this work. Polarity classification is still indexing.
7
Pith papers citing it
abstract
We explore, using a state-of-the-art simulation code in 3D and to late enough times to witness final observables, the dependence of core-collapse supernova explosions on the nuclear equation of state. Going beyond questions of explodability, we compare final explosion energies, nucleosynthetic yields, recoil kicks, and gravitational-wave and neutrino signatures using the SFHo and DD2 nuclear equations of state (EOS) for a 9-$M_{\odot}$/solar-metallicity progenitor star. The DD2 EOS is stiffer and has a lower effective nucleon mass. The result is a more extended protoneutron star (PNS) and lower central densities. As a consequence, the mean neutrino energies, final explosion energy, and recoil kick speed are lower. Moreover, the evolution of PNS convection differs between the two EOS models in significant ways. This translates in part into interestingly altered neutrino ``light" curves and noticeably altered gravitational-wave signal strengths and frequency characteristics that may be diagnostic. The faster exploding model (SFHo) yields slightly more neutron-rich ejecta and more species with atomic weights between 60 and 90 and a weak r-process. However, this is merely a preliminary study. The next step is a more comprehensive and multi-progenitor set of 3D supernova simulations for various EOSes to late times when the observables have asymptoted. Such a future investigation will have a direct bearing on the neutron star and black hole birth mass functions and the quest towards a fully quantitative theory of supernova observables.
years
2026 7verdicts
UNVERDICTED 7representative citing papers
Analytic model predicts protoneutron star crust formation at 100-500 seconds post-supernova using diffusion cooling and Coulomb crystallization.
Neutrino flavor conversion in supernova cores can enhance or suppress explodability depending on the conversion location, independent of progenitor mass.
Relativistic Hartree-Fock calculations of charged-current neutrino opacities reveal large discrepancies and a substantial shift in medium-dependent modifications compared to standard relativistic mean-field models.
Machine learning extracts core rotation and signal properties from CCSN gravitational waves, with next-generation detectors constraining rotation beyond 100 kpc for favorable orientations despite some uncertainties.
Morphological similarity between JWST images of planetary nebula PMR 1 and X-ray images of CCSN remnant RCW 103 indicates that two pairs of jets shaped RCW 103, supporting the jittering-jets explosion mechanism.
Morphological similarity between pipe features in PNe and CCSNRs and a jet simulation is used to argue that jets formed the pipes and to bolster the JJEM for core-collapse supernovae.
citing papers explorer
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From supernovae to neutron stars: crust formation time
Analytic model predicts protoneutron star crust formation at 100-500 seconds post-supernova using diffusion cooling and Coulomb crystallization.
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Flavor Conversion Enhances or Suppresses Supernova Explodability Independent of the Progenitor Mass
Neutrino flavor conversion in supernova cores can enhance or suppress explodability depending on the conversion location, independent of progenitor mass.
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Charged-current neutrino opacity within the relativistic Hartree-Fock framework for astrophysical simulations of core-collapse supernovae and binary neutron star mergers
Relativistic Hartree-Fock calculations of charged-current neutrino opacities reveal large discrepancies and a substantial shift in medium-dependent modifications compared to standard relativistic mean-field models.
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Parameter Estimation Horizon of Core-Collapse Supernovae with Current and Next-Generation Gravitational-Wave Detectors
Machine learning extracts core rotation and signal properties from CCSN gravitational waves, with next-generation detectors constraining rotation beyond 100 kpc for favorable orientations despite some uncertainties.
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JWST observations of a planetary nebula support jet-driven explosion of core-collapse supernova remnant RCW 103
Morphological similarity between JWST images of planetary nebula PMR 1 and X-ray images of CCSN remnant RCW 103 indicates that two pairs of jets shaped RCW 103, supporting the jittering-jets explosion mechanism.
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The jet-shaped pipe morphology in planetary nebulae and core-collapse supernova remnants
Morphological similarity between pipe features in PNe and CCSNRs and a jet simulation is used to argue that jets formed the pipes and to bolster the JJEM for core-collapse supernovae.